We are seeking a passionate Machine Learning Engineer / Data Scientist to join our successful Machine Learning startup. We already have a global reach with our patented Machine Learning Algorithms that can detect IT incidents and solve them in Real time. We are thought leaders within the field of Machine Learning and we have successfully established ourselves in both the UK and US.
As a Machine Learning Engineer / Data Scientist in our team you will be pushed technically as you research and create Machine Learning algorithms in clustering, anomaly detection and Natural Language Processing. As a Machine Learning Engineer / Data Scientist, you will be a key member of our team, working on our unsupervised Machine Leaning algorithms that automatically adapt to different IT environments. You will also be challenging the latest research and publications in Big Data, then applying your work to our Platform.
As a Machine Learning Engineer / Data Scientist what we can offer you:
* To be challenged within a team consisting of top Data Scientists, Data Engineers, Software Engineers and Machine Learning Researchers.
* To get experience in one of the industry’s most exciting sectors
* As a Data Scientist, you will be able to work with freedom in an environment with pushes creativity.
* To use and get exposure to cutting-edge Machine Learning technology and algorithms.


Understanding (Rec.)


Key Skills: Data Scientist, Machine Learning Engineer, Python, Clustering, TDD, Data Analysis, Large Datasets, Big Data Tools, Research, Java, Core Java, R, x86 Assembly, Distributed Algorithms. Distributed systems, BSc, MSc, MPhil, PhD, Post-Doc, Research, R&D, startup. Machine Learning, AI, Artificial Intelligence, NLP, Natural Language Processing, Reinforcement Learning, Deep Learning, Neural Networks

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying


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About Tanenbaum Center for Interreligious Understanding

Tanenbaum offers real world solutions to a real world problem: religious discrimination and hate.